Staff Data Engineer

About Grupo QuintoAndar

We are QuintoAndar Group, Latin America’s largest real estate ecosystem. Guided by the purpose of helping people love where they live, we develop technology and solutions that simplify the entire housing journey, from renting to buying and selling.

Operating in 6 countries (Brazil, Mexico, Argentina, Peru, Ecuador, and Panama) along with a tech hub in Portugal, we bring together over 3,100 people united by the challenge of transforming the industry. Backed by global investors such as SoftBank, General Atlantic, and Kaszek, we have raised over $755 million and are valued at $5.1 billion.

We lead the market’s transformation by pioneering the large-scale application of Artificial Intelligence in real estate. Our platforms accumulate over 50 million monthly visits, managing more than 350,000 active rental contracts and processing R$ 20 billion annually.

If you are looking to solve complex problems with autonomy, cutting-edge technology, and massive scale impact, come on in—make yourself at home

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Why is this a diversity-focused position for women?
At QuintoAndar Group, we are committed to promoting gender diversity across our teams. We want to see more women in strategic positions within our technical teams, and we believe we can achieve this through intentional opportunities and actions. This is part of a larger plan to strengthen an equitable culture across multiple aspects. It is worth noting that for this vacancy, our selection process has not undergone any changes in terms of stages or evaluation methods.

Location & Remote Work

Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• Interview with Recruiter
• Tech Screening
• Technical Interviews with Data Team
• Offer

About the Role
We are looking for a skilled and motivated Data Engineer Specialist to join our team. The responsibilities of this role is to design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines that empowers Data Analysts, and Data Scientists to deliver insights and drive strategic decision-making. 

Responsibilities of a Data Engineer at QuintoAndar:

• Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling incredible architectures and efficient platforms;
• Create and edit data pipelines, considering business logic that best applies to the area in question, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning the data;
• Create data modeling and transformation workflows, enabling the creation of clear and accessible data abstractions;
• Responsible for the entire code development lifecycle (monitoring deployment, documentation, performance, security, adding metrics and alarms, ensuring SLO budget compliance, and more);
• Investigate inconsistencies and be able to trace the source of differences (data troubleshooting);
• Enable teams across the company to access and use data more effectively through self-service tools and well-modeled datasets;
• Align with stakeholders to understand their primary needs, while also having a holistic view of the problem and proposing extensible, scalable, and incremental solutions;
• Conduct PoCs and benchmarks to determine the best tool for a given problem, and decide whether to use an off-the-shelf solution or develop one in-house;
• Contribute to defining the strategic vision, crossing team and service boundaries to solve problems;
• Advocate for the value of data analytics and engineering within the organization and fostering a data-driven culture;
• Be a reference within the chapter on technical concepts, tools, and/or best coding practices.

What we are looking for:

• Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python);
• Experience with Airflow, Spark, AWS and Databricks;
• Strong foundation in software engineering principles, with experience working on data-centric systems;
• Experience with columnar storage solutions and/or data lakehouse concepts;
• Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code. 
• Strong knowledge in optimizing SQL query performance;
• Experience in building multidimensional data models (Star and/or Snowflake schema);
• Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.;
• Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others; 
• Proficiency in English - our code, documentation, tools, and materials are often structured in English.
• Excellent communication skills, proactively sharing and collaborating with both technical and non-technical stakeholders to translate business needs into scalable data solutions;
• Experience as a tech/project lead or similar;
• Curiosity, detail-orientation, and thrive in a fast-paced, data-driven environment.

You will stand out if:

• You have participated in building large-scale data platforms for big data sets and teams using Big Data technologies such as Spark, Trino, Hive, Atlas, Ranger, etc.;
• Experience in building semantic layers.

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.

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